Awesome GitHub RepositoriesJSON Data Stores

Reader is a digital content reader and browser-based document viewer. It functions as a digital library manager and content aggregator that collects articles and documents from various online sources into a single interface. The project utilizes a JSON-driven approach to organize and display hierarchies of digital documents. It incorporates a REST-based aggregation model to fetch reading materials and metadata from remote servers for a unified viewing experience. The application provides client-side rendering for digital texts and manages personal collections through a digital library system

Movie Data Capture is a media library organizer and movie metadata scraper designed to automatically categorize and name files in a local media collection. It functions as an automated content tagger that identifies movie files and applies descriptive tags by extracting film details from web databases. The system utilizes an HTTP web scraper to fetch information from external APIs and remote HTML content. It employs a filename pattern parser to extract movie titles and release years from local files using regular expressions, which are then used to automate search queries. The tool maps scra

Hazelcast is a distributed data platform that combines an in-memory data grid with a stream processing engine to support real-time analytics and event-driven applications. It functions as a partitioned, distributed key-value store that replicates data across cluster nodes to provide low-latency access and high availability. The platform also serves as a distributed SQL query engine, allowing users to execute standard SQL statements against both in-memory datasets and external data sources. What distinguishes Hazelcast is its use of a distributed consensus subsystem to maintain strongly consis

ai-deadlines هو متتبع لتواريخ التقديم عبر مؤتمرات أبحاث التعلم الآلي، ورؤية الحاسب، ومعالجة اللغات الطبيعية. يعمل كتقويم متخصص ومراقب لمساعدة الباحثين على تتبع معالم تواريخ المؤتمرات المهمة. يوفر المشروع جداول زمنية ومؤقتات تنازلية لأهم فعاليات الذكاء الاصطناعي. ويغطي دورة النشر للأوراق الأكاديمية في مجالات ML وCV وNLP.

Knuff هي أداة تصحيح أخطاء سطح مكتب مصممة لاختبار حمولات خدمة إشعارات Apple Push. تتيح تسليم حمولات JSON مخصصة إلى الأجهزة المحمولة للتحقق من استلام الإشعارات بشكل صحيح. يتكامل التطبيق مع سلسلة مفاتيح النظام لإدارة شهادات الأمان والمفاتيح الخاصة لتوقيع الطلبات. كما يتضمن أداة لتصدير هويات الأمان هذه من سلسلة المفاتيح إلى تنسيقات ملفات محمولة لاستخدامها مع أدوات تطوير أخرى. توفر الأداة آليات لاسترجاع رمز الجهاز تلقائياً ومدير حمولة لحفظ وإعادة استخدام رموز الجهاز وتهيئات JSON. يسمح هذا باستمرارية بيانات إشعار محددة لضمان سيناريوهات اختبار قابلة للتكرار.

FirebaseChat is a real-time chat application and serverless messaging client that synchronizes conversations and messages instantly across clients. It provides a user interface for a messaging system backed by a cloud-hosted NoSQL document store. The project implements a real-time chat system through the integration of a Firebase backend, allowing for instant messaging workflows and the synchronization of data across connected clients. The application manages data using schema-less NoSQL storage and document-based data modeling. It utilizes a persistent connection for database synchronizatio

fake-useragent is a tool for generating realistic browser identification strings and parsing existing agents into structured metadata. It functions as an HTTP user agent generator and a web scraping utility designed to rotate browser identities to mimic different devices during automated data collection. The project provides capabilities for random user-agent generation and filtering based on specific browsers, operating systems, device platforms, or minimum version numbers. It also includes a user agent parser to extract detailed metadata, such as browser versions and device brands, from age

Kùzu is an embedded property graph database engine designed for high-performance analytical queries and local data management. It operates as a library within the host application process, utilizing a columnar-based storage architecture and just-in-time query compilation to execute complex graph traversals and pattern matching efficiently. By mapping database files directly into system memory, it ensures data durability and high-speed access while maintaining ACID-compliant transactional integrity. The engine distinguishes itself by integrating vector similarity search and full-text search di

This project is a REST mock API and e-commerce sandbox that provides simulated backend data for testing and prototyping. It serves as a JSON data provider, offering predefined endpoints to manage product catalogs, customer profiles, and shopping carts. The system uses JSON-based mock persistence and in-memory state simulation to deliver consistent data without a database. It includes a JWT authentication mock that simulates user login flows by issuing tokens to verify identity and access to protected resources. The API covers capabilities for catalog management, shopping cart operations, and

This project is a technology radar visualization tool and dockerized static site generator. It transforms JSON or CSV datasets into an interactive technology map used to track the adoption status and maturity of tools and techniques across an organization. The tool enables enterprise architecture mapping by organizing portfolios of technologies into categories and maturity levels. It supports custom technical taxonomies, allowing the definition of specialized rings and quadrants to match specific organizational evaluation criteria. The system covers automated radar generation and technology

Icon-sets is a repository and toolkit for aggregating, optimizing, and managing open-source vector icon collections. It functions as an SVG icon collection manager, vector icon library, and processing utility that organizes design assets into standardized JSON data structures and graphic files. The project provides comprehensive capabilities for icon import, export, processing, and rendering. Imported vector graphics undergo schema-driven validation, security sanitization, and format standardization alongside geometric transformations such as scaling, rotation, and flipping. Alias-based data